Advances in Generative AI tools have allowed designers to manipulate existing 3D models using text or image-based prompts, enabling creators to explore different design goals. Photochromic color-changing systems, on the other hand, allow for the reprogramming of surface texture of 3D models, enabling easy customization of physical objects and opening up the possibility of using object surfaces for data display. However, existing photochromic systems require the user to manually design the desired texture, inspect the simulation of the pattern on the object, and verify the efficacy of the generated pattern. These manual design, inspection, and verification steps prevent the user from efficiently exploring the design space of possible patterns. Thus, by designing an automated workflow desired for an end-to-end texture application process, we can allow rapid iteration on different practicable patterns. In this workshop paper, we discuss the possibilities of extending generative AI systems, with material and design constraints for reprogrammable surfaces with photochromic materials. By constraining generative AI systems to colors and materials possible to be physically realized with photochromic dyes, we can create tools that would allow users to explore different viable patterns, with text and image-based prompts. We identify two focus areas in this topic: photochromic material constraints and design constraints for data-encoded textures. We highlight the current limitations of using generative AI tools to create viable textures using photochromic material. Finally, we present possible approaches to augment generative AI methods to take into account the photochromic material constraints, allowing for the creation of viable photochromic textures rapidly and easily.

翻译：生成式人工智能工具的进步使设计师能够通过文本或图像提示操控现有3D模型，从而探索不同的设计目标。另一方面，光致变色系统允许对3D模型表面纹理进行重编程，实现物理物体的便捷定制，并开辟了将物体表面用于数据显示的可能性。然而，现有光致变色系统需要用户手动设计所需纹理、检查物体上的图案模拟效果，并验证生成图案的有效性。这些手动设计、检查和验证步骤阻碍了用户高效探索可能图案的设计空间。因此，通过设计适用于端到端纹理应用流程的自动化工作流，我们可以快速迭代不同的可行图案。本文作为研讨会论文，探讨了在具有材料与设计约束的可重编程表面中扩展生成式AI系统的可能性。通过将生成式AI系统约束为仅使用可通过光致变色染料物理实现的颜色与材料，我们可以创建工具，使用户能够通过文本和图像提示探索不同的可行图案。我们确定了该主题下的两个重点领域：光致变色材料约束和用于数据编码纹理的设计约束。我们强调了当前使用生成式AI工具基于光致变色材料创建可行纹理的局限性。最后，我们提出了增强生成式AI方法以考虑光致变色材料约束的可能方案，从而快速轻松地生成可行的光致变色纹理。